ArticleThe pharmacogenomics journal2019
Whole genome sequencing identifies high-impact variants in well-known pharmacogenomic genes.
Article in The pharmacogenomics journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Longitudinal multisite study of the chronobiological control of chronic pain: the CircaHealth CircaPain study protocol.BMJ open · 2024Article
- Development of an extensive workflow for comprehensive clinical pharmacogenomic profiling: lessons from a pilot study on 100 whole exome sequencing data.The pharmacogenomics journal · 2022Article
- Applying Next-Generation Sequencing Platforms for Pharmacogenomic Testing in Clinical Practice.Frontiers in pharmacology · 2021Review
- Genetic Epidemiology of Medication Safety and Efficacy Related Variants in the Central Han Chinese Population With Whole Genome Sequencing.Frontiers in pharmacology · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
More than 1100 genetic loci have been correlated with drug response outcomes but disproportionately few have been translated into clinical practice. One explanation for the low rate of clinical implementation is that the majority of associated variants may be in linkage disequilibrium (LD) with the causal variants, which are often elusive. This study aims to identify and characterize likely causal variants within well-established pharmacogenomic genes using next-generation sequencing data from the 1000 Genomes Project. We identified 69,319 genetic variations within 160 pharmacogenomic genes, of which 8207 variants are in strong LD (r
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